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Code Issues Actions 4 Packages Projects Releases Wiki Activity

Fixes (#18117)

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* face library i18n fixes

* face library i18n fixes

* add ability to use ctrl/cmd S to save in the config editor

* Use datetime as ID

* Update metrics inference speed to start with 0 ms

* fix android formatted thumbnail

* ensure role is comma separated and stripped correctly

* improve face library deletion

- add a confirmation dialog
- add ability to select all / delete faces in collections

* Implement lazy loading for video previews

* Force GPU for large embedding model

* GPU is required

* settings i18n fixes

* Don't delete train tab

* webpush debugging logs

* Fix incorrectly copying zones

* copy path data

* Ensure that cache dir exists for Frigate+

* face docs update

* Add description to upload image step to clarify the image

* Clean up

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2025-05-09 07:36:44 -06:00
committed by GitHub
co-authored by Nicolas Mowen
parent 52d94231c7
commit 8094dd4075
27 changed files with 402 additions and 195 deletions
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frigate/embeddings/embeddings.py
+7 -16
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@@ -21,7 +21,7 @@ from frigate.data_processing.types import DataProcessorMetrics
from frigate.db.sqlitevecq import SqliteVecQueueDatabase
from frigate.models import Event
from frigate.types import ModelStatusTypesEnum
from frigate.util.builtin import EventsPerSecond, serialize
from frigate.util.builtin import EventsPerSecond, InferenceSpeed, serialize
from frigate.util.path import get_event_thumbnail_bytes
from .onnx.jina_v1_embedding import JinaV1ImageEmbedding, JinaV1TextEmbedding
@@ -75,8 +75,10 @@ class Embeddings:
self.metrics = metrics
self.requestor = InterProcessRequestor()
self.image_inference_speed = InferenceSpeed(self.metrics.image_embeddings_speed)
self.image_eps = EventsPerSecond()
self.image_eps.start()
self.text_inference_speed = InferenceSpeed(self.metrics.text_embeddings_speed)
self.text_eps = EventsPerSecond()
self.text_eps.start()
@@ -183,10 +185,7 @@ class Embeddings:
(event_id, serialize(embedding)),
)
duration = datetime.datetime.now().timestamp() - start
self.metrics.image_embeddings_speed.value = (
self.metrics.image_embeddings_speed.value * 9 + duration
) / 10
self.image_inference_speed.update(datetime.datetime.now().timestamp() - start)
self.image_eps.update()
return embedding
@@ -220,9 +219,7 @@ class Embeddings:
)
duration = datetime.datetime.now().timestamp() - start
self.metrics.text_embeddings_speed.value = (
self.metrics.text_embeddings_speed.value * 9 + (duration / len(ids))
) / 10
self.text_inference_speed.update(duration / len(ids))
return embeddings
@@ -241,10 +238,7 @@ class Embeddings:
(event_id, serialize(embedding)),
)
duration = datetime.datetime.now().timestamp() - start
self.metrics.text_embeddings_speed.value = (
self.metrics.text_embeddings_speed.value * 9 + duration
) / 10
self.text_inference_speed.update(datetime.datetime.now().timestamp() - start)
self.text_eps.update()
return embedding
@@ -276,10 +270,7 @@ class Embeddings:
items,
)
duration = datetime.datetime.now().timestamp() - start
self.metrics.text_embeddings_speed.value = (
self.metrics.text_embeddings_speed.value * 9 + (duration / len(ids))
) / 10
self.text_inference_speed.update(datetime.datetime.now().timestamp() - start)
return embeddings